METHOD FOR CHINESE CONCEPT EMBEDDING GENERATION BASED ON WIKIPEDIA LINK STRUCTURE

摘要

The present invention discloses a method and a device for Chinese concept embedding generation based on Wikipedia link structure. The method includes: Step (1): According to the title concepts and/or link concepts in Chinese Wikipedia pages, a link information database is constructed; Step (2): For the title concepts, according to their link relationships with link concepts in the link information database, the positive and negative training instances are constructed respectively, which constitute the training dataset; Step (3): A concept embedding model is built, including an input layer, an embedding layer, a computational operation layer, and an output layer; Step (4): The concept embedding model is trained with the training dataset, then, the Chinese concept embedding is extracted/generated from the concept embedding model. The present invention can accurately distinguish different concepts and overcome the problem of polysemy that troubles the traditional embedding methods, which is beneficial to generate more accurate concept embedding representation.